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BioModels Parameters: a treasure trove of parameter values from published systems biology models
MOTIVATION: One of the major bottlenecks in building systems biology models is identification and estimation of model parameters for model calibration. Searching for model parameters from published literature and models is an essential, yet laborious task. RESULTS: We have developed a new service, B...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7653554/ https://www.ncbi.nlm.nih.gov/pubmed/32573648 http://dx.doi.org/10.1093/bioinformatics/btaa560 |
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author | Glont, Mihai Arankalle, Chinmay Tiwari, Krishna Nguyen, Tung V N Hermjakob, Henning Malik-Sheriff, Rahuman S |
author_facet | Glont, Mihai Arankalle, Chinmay Tiwari, Krishna Nguyen, Tung V N Hermjakob, Henning Malik-Sheriff, Rahuman S |
author_sort | Glont, Mihai |
collection | PubMed |
description | MOTIVATION: One of the major bottlenecks in building systems biology models is identification and estimation of model parameters for model calibration. Searching for model parameters from published literature and models is an essential, yet laborious task. RESULTS: We have developed a new service, BioModels Parameters, to facilitate search and retrieval of parameter values from the Systems Biology Markup Language models stored in BioModels. Modellers can now directly search for a model entity (e.g. a protein or drug) to retrieve the rate equations describing it; the associated parameter values (e.g. degradation rate, production rate, Kcat, Michaelis–Menten constant, etc.) and the initial concentrations. Currently, BioModels Parameters contains entries from over 84,000 reactions and 60 different taxa with cross-references. The retrieved rate equations and parameters can be used for scanning parameter ranges, model fitting and model extension. Thus, BioModels Parameters will be a valuable service for systems biology modellers. AVAILABILITY AND IMPLEMENTATION: The data are accessible via web interface and API. BioModels Parameters is free to use and is publicly available at https://www.ebi.ac.uk/biomodels/parameterSearch. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-7653554 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-76535542020-11-16 BioModels Parameters: a treasure trove of parameter values from published systems biology models Glont, Mihai Arankalle, Chinmay Tiwari, Krishna Nguyen, Tung V N Hermjakob, Henning Malik-Sheriff, Rahuman S Bioinformatics Original Papers MOTIVATION: One of the major bottlenecks in building systems biology models is identification and estimation of model parameters for model calibration. Searching for model parameters from published literature and models is an essential, yet laborious task. RESULTS: We have developed a new service, BioModels Parameters, to facilitate search and retrieval of parameter values from the Systems Biology Markup Language models stored in BioModels. Modellers can now directly search for a model entity (e.g. a protein or drug) to retrieve the rate equations describing it; the associated parameter values (e.g. degradation rate, production rate, Kcat, Michaelis–Menten constant, etc.) and the initial concentrations. Currently, BioModels Parameters contains entries from over 84,000 reactions and 60 different taxa with cross-references. The retrieved rate equations and parameters can be used for scanning parameter ranges, model fitting and model extension. Thus, BioModels Parameters will be a valuable service for systems biology modellers. AVAILABILITY AND IMPLEMENTATION: The data are accessible via web interface and API. BioModels Parameters is free to use and is publicly available at https://www.ebi.ac.uk/biomodels/parameterSearch. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2020-06-23 /pmc/articles/PMC7653554/ /pubmed/32573648 http://dx.doi.org/10.1093/bioinformatics/btaa560 Text en © The Author(s) 2020. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Papers Glont, Mihai Arankalle, Chinmay Tiwari, Krishna Nguyen, Tung V N Hermjakob, Henning Malik-Sheriff, Rahuman S BioModels Parameters: a treasure trove of parameter values from published systems biology models |
title | BioModels Parameters: a treasure trove of parameter values from published systems biology models |
title_full | BioModels Parameters: a treasure trove of parameter values from published systems biology models |
title_fullStr | BioModels Parameters: a treasure trove of parameter values from published systems biology models |
title_full_unstemmed | BioModels Parameters: a treasure trove of parameter values from published systems biology models |
title_short | BioModels Parameters: a treasure trove of parameter values from published systems biology models |
title_sort | biomodels parameters: a treasure trove of parameter values from published systems biology models |
topic | Original Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7653554/ https://www.ncbi.nlm.nih.gov/pubmed/32573648 http://dx.doi.org/10.1093/bioinformatics/btaa560 |
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